一、智能算法識別

　　1、 Intelligent algorithm recognition

　　健康體檢一體機(jī)采用先進(jìn)的智能算法對收集到的數(shù)據(jù)進(jìn)行處理和分析。這些算法能夠識別異常數(shù)據(jù)，并基于預(yù)設(shè)的閾值或范圍進(jìn)行判斷。例如，在血壓測量中，如果測量結(jié)果超出正常血壓范圍（如收縮壓>139mmHg或<90mmhg，舒張壓>89mmHg或<60mmHg），算法會將其標(biāo)記為異常數(shù)據(jù)。

　　The health examination all-in-one machine adopts advanced intelligent algorithms to process and analyze the collected data. These algorithms can identify abnormal data and make judgments based on preset thresholds or ranges. For example, in blood pressure measurement, if the measurement result exceeds the normal blood pressure range (such as systolic blood pressure>139mmHg or<90mmHg, diastolic blood pressure>89mmHg or<60mmHg), the algorithm will mark it as abnormal data.

　　二、傳感器精度

　　2、 Sensor accuracy

　　高精度的傳感器是確保測量準(zhǔn)確性的基礎(chǔ)。健康體檢一體機(jī)應(yīng)選用經(jīng)過嚴(yán)格校準(zhǔn)和測試的傳感器，以減少測量誤差。當(dāng)傳感器檢測到的數(shù)據(jù)與預(yù)設(shè)的正常范圍不符時(shí)，會觸發(fā)報(bào)警機(jī)制。

　　High precision sensors are the foundation for ensuring measurement accuracy. The integrated health examination machine should use sensors that have undergone strict calibration and testing to reduce measurement errors. When the data detected by the sensor does not match the preset normal range, an alarm mechanism will be triggered.

　　三、實(shí)時(shí)數(shù)據(jù)監(jiān)控與比對

　　3、 Real time data monitoring and comparison

　　健康體檢一體機(jī)會對實(shí)時(shí)采集的數(shù)據(jù)進(jìn)行監(jiān)控，并將其與預(yù)設(shè)的正常范圍或歷史數(shù)據(jù)進(jìn)行比對。如果數(shù)據(jù)超出正常范圍或與歷史數(shù)據(jù)存在顯著差異，系統(tǒng)會判斷為異常并觸發(fā)報(bào)警。

　　The integrated health examination platform monitors real-time collected data and compares it with preset normal ranges or historical data. If the data exceeds the normal range or has significant differences from historical data, the system will determine it as abnormal and trigger an alarm.

　　四、預(yù)警機(jī)制設(shè)置

　　4、 Warning mechanism setting

　　健康體檢一體機(jī)通常具備預(yù)警機(jī)制設(shè)置功能，用戶可以根據(jù)自身情況設(shè)置個(gè)性化的預(yù)警閾值。例如，對于高血壓患者，可以設(shè)置較高的血壓預(yù)警閾值；對于糖尿病患者，可以設(shè)置較低的血糖預(yù)警閾值。當(dāng)監(jiān)測數(shù)據(jù)達(dá)到或超過這些閾值時(shí)，系統(tǒng)會自動發(fā)出預(yù)警。

　　The health examination all-in-one machine usually has a warning mechanism setting function, and users can set personalized warning thresholds according to their own situation. For example, for hypertensive patients, a higher blood pressure warning threshold can be set; For patients with diabetes, lower blood glucose warning threshold can be set. When the monitoring data reaches or exceeds these thresholds, the system will automatically issue an alert.

　　五、多種報(bào)警方式

　　5、 Multiple alarm methods

　　為了確保用戶能夠及時(shí)接收到預(yù)警信息，健康體檢一體機(jī)支持多種報(bào)警方式。這些方式可能包括聲音警報(bào)、屏幕顯示、短信通知、電話呼叫等。用戶可以根據(jù)個(gè)人喜好和需求選擇合適的報(bào)警方式。

　　In order to ensure that users can receive warning information in a timely manner, the health examination all-in-one machine supports multiple alarm methods. These methods may include sound alarms, screen displays, SMS notifications, phone calls, etc. Users can choose the appropriate alarm method based on their personal preferences and needs.

　　六、數(shù)據(jù)管理與分析

　　6、 Data Management and Analysis

　　一些高端的健康體檢一體機(jī)還配備了后端數(shù)據(jù)分析系統(tǒng)。該系統(tǒng)可以對收集到的數(shù)據(jù)進(jìn)行更深入的分析和處理，包括異常數(shù)據(jù)的校正和預(yù)警。通過機(jī)器學(xué)習(xí)、數(shù)據(jù)挖掘等技術(shù)，系統(tǒng)能夠自動識別并處理異常數(shù)據(jù)，提高預(yù)警的準(zhǔn)確性和有效性。

　　Some high-end health check-up all-in-one machines are also equipped with backend data analysis systems. This system can conduct more in-depth analysis and processing of collected data, including correction and warning of abnormal data. Through machine learning, data mining and other technologies, the system can automatically identify and process abnormal data, improving the accuracy and effectiveness of early warning.